Principal Applied Scientist, Ads Measurement Science
Core
Lead technical vision and execution for Amazon Advertising's performance measurement products, measuring comprehensive ad spend impact (online/offline, short/long-term) to help advertisers optimize media portfolios.
Role type
Principal Applied Scientist (Ads Measurement Science)
Builds
Foundational and agentic models for advertiser use cases across Ads; performance measurement tools and products.
Domain
Advertising technology, measurement science, causal inference, and generative AI.
Deliverable
production ML models
Required skills
Predictive modeling, causal inference, natural language processing, computer vision, generative AI, algorithm design, experimentation, statistics, Java, C++, Python
Preferred skills
Ad tech and ad measurement problem expertise, novel algorithm creation, peer-reviewed scientific contributions, sequence modeling, forecasting
Technologies
Generative AI, classical ML, Causal Inference, NLP, Computer Vision
Responsibilities
Drive scientific vision and advise technical leadership on measurement models; solve hard, unsolved problems in ad measurement; lead science and design reviews; mentor scientists and attract talent; drive new product features from inception to production launch.
Seniority
Principal, hands-on IC with mentorship and strategy